Pandas Profile Report

Dataset statistics

Number of variables	23
Number of observations	3961
Missing cells	7357
Missing cells (%)	8.1%
Duplicate rows	129
Duplicate rows (%)	3.3%
Total size in memory	2.4 MiB
Average record size in memory	622.7 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

Dataset has 129 (3.3%) duplicate rows	Duplicates
`area` is highly overall correlated with `bathroom` and 4 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 4 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `carpet_area` and 2 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 6 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `super_built_up_area`	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (56.0%)	Imbalance
`facing` has 1177 (29.7%) missing values	Missing
`super_built_up_area` has 2027 (51.2%) missing values	Missing
`built_up_area` has 2113 (53.3%) missing values	Missing
`carpet_area` has 1958 (49.4%) missing values	Missing
`area` is highly skewed (γ1 = 59.61688041)	Skewed
`built_up_area` is highly skewed (γ1 = 42.53644152)	Skewed
`carpet_area` is highly skewed (γ1 = 25.1682128)	Skewed
`floorNum` has 139 (3.5%) zeros	Zeros
`luxury_score` has 559 (14.1%) zeros	Zeros

Reproduction

Analysis started	2025-01-20 17:08:17.387695
Analysis finished	2025-01-20 17:08:37.980970
Duration	20.59 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

flat	2997
house	964

Length

Max length	5
Median length	4
Mean length	4.2433729
Min length	4

Characters and Unicode

Total characters	16808
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	house
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2997	75.7%
house	964	24.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2997	75.7%
house	964	24.3%

Most occurring characters

Value	Count	Frequency (%)
f	2997	17.8%
l	2997	17.8%
a	2997	17.8%
t	2997	17.8%
h	964	5.7%
o	964	5.7%
u	964	5.7%
s	964	5.7%
e	964	5.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16808	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2997	17.8%
l	2997	17.8%
a	2997	17.8%
t	2997	17.8%
h	964	5.7%
o	964	5.7%
u	964	5.7%
s	964	5.7%
e	964	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16808	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2997	17.8%
l	2997	17.8%
a	2997	17.8%
t	2997	17.8%
h	964	5.7%
o	964	5.7%
u	964	5.7%
s	964	5.7%
e	964	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2997	17.8%
l	2997	17.8%
a	2997	17.8%
t	2997	17.8%
h	964	5.7%
o	964	5.7%
u	964	5.7%
s	964	5.7%
e	964	5.7%

society
Text

Distinct	725
Distinct (%)	18.3%
Missing	1
Missing (%)	< 0.1%
Memory size	285.6 KiB

Length

Max length	49
Median length	41
Mean length	16.812121
Min length	1

Characters and Unicode

Total characters	66576
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	325 ?
Unique (%)	8.2%

Sample

1st row	sare homes
2nd row	ireo skyon
3rd row	shapoorji pallonji joyville gurugram
4th row	rattan garden
5th row	signature global park 4

Value	Count	Frequency (%)
independent	574	5.6%
the	363	3.5%
dlf	229	2.2%
park	221	2.1%
city	176	1.7%
global	167	1.6%
signature	161	1.6%
emaar	159	1.5%
m3m	156	1.5%
heights	139	1.3%
Other values (817)	7966	77.3%

Most occurring characters

Value	Count	Frequency (%)
e	7307	11.0%
	6353	9.5%
a	6253	9.4%
n	4605	6.9%
r	4460	6.7%
i	4107	6.2%
t	4017	6.0%
s	3706	5.6%
l	3129	4.7%
o	2929	4.4%
Other values (31)	19710	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	59624	89.6%
Space Separator	6353	9.5%
Decimal Number	573	0.9%
Other Punctuation	15	< 0.1%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7307	12.3%
a	6253	10.5%
n	4605	7.7%
r	4460	7.5%
i	4107	6.9%
t	4017	6.7%
s	3706	6.2%
l	3129	5.2%
o	2929	4.9%
d	2748	4.6%
Other values (16)	16363	27.4%

Decimal Number

Value	Count	Frequency (%)
3	220	38.4%
2	85	14.8%
1	84	14.7%
6	63	11.0%
8	35	6.1%
4	19	3.3%
5	19	3.3%
7	17	3.0%
9	16	2.8%
0	15	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	12	80.0%
/	2	13.3%
.	1	6.7%

Space Separator

Value	Count	Frequency (%)
	6353	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59624	89.6%
Common	6952	10.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7307	12.3%
a	6253	10.5%
n	4605	7.7%
r	4460	7.5%
i	4107	6.9%
t	4017	6.7%
s	3706	6.2%
l	3129	5.2%
o	2929	4.9%
d	2748	4.6%
Other values (16)	16363	27.4%

Common

Value	Count	Frequency (%)
	6353	91.4%
3	220	3.2%
2	85	1.2%
1	84	1.2%
6	63	0.9%
8	35	0.5%
4	19	0.3%
5	19	0.3%
7	17	0.2%
9	16	0.2%
Other values (5)	41	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66576	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7307	11.0%
	6353	9.5%
a	6253	9.4%
n	4605	6.9%
r	4460	6.7%
i	4107	6.2%
t	4017	6.0%
s	3706	5.6%
l	3129	4.7%
o	2929	4.4%
Other values (31)	19710	29.6%

sector
Text

Distinct	234
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

Length

Max length	57
Median length	9
Mean length	9.5367331
Min length	3

Characters and Unicode

Total characters	37775
Distinct characters	40
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	2.0%

Sample

1st row	sector 92
2nd row	sector 60
3rd row	sector 102
4th row	sector 7
5th row	sector 36

Value	Count	Frequency (%)
sector	3605	44.7%
road	209	2.6%
sohna	183	2.3%
102	112	1.4%
85	110	1.4%
92	105	1.3%
69	94	1.2%
90	91	1.1%
65	90	1.1%
2	89	1.1%
Other values (265)	3376	41.9%

Most occurring characters

Value	Count	Frequency (%)
	4105	10.9%
o	4095	10.8%
r	4030	10.7%
s	3960	10.5%
e	3806	10.1%
c	3722	9.9%
t	3687	9.8%
1	1129	3.0%
a	1032	2.7%
0	828	2.2%
Other values (30)	7381	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26034	68.9%
Decimal Number	7608	20.1%
Space Separator	4105	10.9%
Other Punctuation	17	< 0.1%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4095	15.7%
r	4030	15.5%
s	3960	15.2%
e	3806	14.6%
c	3722	14.3%
t	3687	14.2%
a	1032	4.0%
n	348	1.3%
d	330	1.3%
h	301	1.2%
Other values (15)	723	2.8%

Decimal Number

Value	Count	Frequency (%)
1	1129	14.8%
0	828	10.9%
8	806	10.6%
9	806	10.6%
6	760	10.0%
2	726	9.5%
7	716	9.4%
3	712	9.4%
5	622	8.2%
4	503	6.6%

Other Punctuation

Value	Count	Frequency (%)
,	15	88.2%
/	1	5.9%
'	1	5.9%

Space Separator

Value	Count	Frequency (%)
	4105	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26034	68.9%
Common	11741	31.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4095	15.7%
r	4030	15.5%
s	3960	15.2%
e	3806	14.6%
c	3722	14.3%
t	3687	14.2%
a	1032	4.0%
n	348	1.3%
d	330	1.3%
h	301	1.2%
Other values (15)	723	2.8%

Common

Value	Count	Frequency (%)
	4105	35.0%
1	1129	9.6%
0	828	7.1%
8	806	6.9%
9	806	6.9%
6	760	6.5%
2	726	6.2%
7	716	6.1%
3	712	6.1%
5	622	5.3%
Other values (5)	531	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37775	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4105	10.9%
o	4095	10.8%
r	4030	10.7%
s	3960	10.5%
e	3806	10.1%
c	3722	9.9%
t	3687	9.8%
1	1129	3.0%
a	1032	2.7%
0	828	2.2%
Other values (30)	7381	19.5%

price
Real number (ℝ)

High correlation

Distinct	479
Distinct (%)	12.2%
Missing	20
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.4754986

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.36
Q1	0.9
median	1.5
Q3	2.65
95-th percentile	8.4
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.75

Descriptive statistics

Standard deviation	2.9225703
Coefficient of variation (CV)	1.1805986
Kurtosis	15.480087
Mean	2.4754986
Median Absolute Deviation (MAD)	0.72
Skewness	3.3303638
Sum	9755.94
Variance	8.5414172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	84	2.1%
1.5	70	1.8%
1.1	70	1.8%
0.9	70	1.8%
1.2	66	1.7%
1.3	64	1.6%
1.4	64	1.6%
0.95	62	1.6%
2	60	1.5%
1	54	1.4%
Other values (469)	3277	82.7%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.13	1	< 0.1%
0.15	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.18	1	< 0.1%
0.19	1	< 0.1%
0.2	9	0.2%
0.21	6	0.2%
0.22	10	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2731
Distinct (%)	69.3%
Missing	20
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13915.093

Minimum	2
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	2
5-th percentile	4681
Q1	6790
median	9000
Q3	13750
95-th percentile	33333
Maximum	600000
Range	599998
Interquartile range (IQR)	6960

Descriptive statistics

Standard deviation	23181.16
Coefficient of variation (CV)	1.6659005
Kurtosis	176.40897
Mean	13915.093
Median Absolute Deviation (MAD)	2781
Skewness	11.011874
Sum	54839381
Variance	5.373662 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	29	0.7%
8000	21	0.5%
5000	18	0.5%
12500	18	0.5%
11111	17	0.4%
8333	15	0.4%
6666	15	0.4%
7500	14	0.4%
22222	14	0.4%
6000	12	0.3%
Other values (2721)	3768	95.1%
(Missing)	20	0.5%

Value	Count	Frequency (%)
2	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1351
Distinct (%)	34.3%
Missing	20
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	4647.0256

Minimum	45
Maximum	7250000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	45
5-th percentile	500
Q1	1187
median	1700
Q3	2290
95-th percentile	4200
Maximum	7250000
Range	7249955
Interquartile range (IQR)	1103

Descriptive statistics

Standard deviation	117585.65
Coefficient of variation (CV)	25.303421
Kurtosis	3662.5658
Mean	4647.0256
Median Absolute Deviation (MAD)	550
Skewness	59.61688
Sum	18313928
Variance	1.3826384 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	55	1.4%
1350	53	1.3%
900	53	1.3%
1800	50	1.3%
3240	45	1.1%
1950	44	1.1%
2700	40	1.0%
2000	37	0.9%
2400	25	0.6%
2250	25	0.6%
Other values (1341)	3514	88.7%

Value	Count	Frequency (%)
45	1	< 0.1%
50	5	0.1%
54	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%

Value	Count	Frequency (%)
7250000	1	< 0.1%
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%

areaWithType
Text

Distinct	2443
Distinct (%)	61.7%
Missing	0
Missing (%)	0.0%
Memory size	427.1 KiB

Length

Max length	124
Median length	119
Mean length	53.375915
Min length	12

Characters and Unicode

Total characters	211422
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1855 ?
Unique (%)	46.8%

Sample

1st row	Carpet area: 1200 (111.48 sq.m.)
2nd row	Super Built up area 2809(260.96 sq.m.)Carpet area: 2400 sq.ft. (222.97 sq.m.)
3rd row	Super Built up area 915(85.01 sq.m.)
4th row	Built Up area: 963 (89.47 sq.m.)
5th row	Carpet area: 1120 (104.05 sq.m.)

Value	Count	Frequency (%)
area	5937	18.5%
sq.m	3937	12.3%
up	3167	9.9%
built	2438	7.6%
super	1934	6.0%
sq.ft	1811	5.7%
sq.m.)carpet	1239	3.9%
plot	767	2.4%
carpet	760	2.4%
sq.m.)built	727	2.3%
Other values (2926)	9298	29.0%

Most occurring characters

Value	Count	Frequency (%)
	28054	13.3%
.	21619	10.2%
a	14032	6.6%
r	10029	4.7%
e	9874	4.7%
1	9714	4.6%
s	8026	3.8%
q	7871	3.7%
t	7748	3.7%
p	7104	3.4%
Other values (25)	87351	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	87613	41.4%
Decimal Number	50006	23.7%
Space Separator	28054	13.3%
Other Punctuation	24855	11.8%
Uppercase Letter	9104	4.3%
Close Punctuation	5895	2.8%
Open Punctuation	5895	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14032	16.0%
r	10029	11.4%
e	9874	11.3%
s	8026	9.2%
q	7871	9.0%
t	7748	8.8%
p	7104	8.1%
u	7035	8.0%
m	5905	6.7%
l	3934	4.5%
Other values (5)	6055	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9714	19.4%
0	7087	14.2%
2	6025	12.0%
5	5018	10.0%
3	4186	8.4%
4	3940	7.9%
6	3890	7.8%
7	3445	6.9%
8	3368	6.7%
9	3333	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3167	34.8%
C	2003	22.0%
S	1934	21.2%
U	1233	13.5%
P	767	8.4%

Other Punctuation

Value	Count	Frequency (%)
.	21619	87.0%
:	3236	13.0%

Space Separator

Value	Count	Frequency (%)
	28054	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5895	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5895	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	114705	54.3%
Latin	96717	45.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14032	14.5%
r	10029	10.4%
e	9874	10.2%
s	8026	8.3%
q	7871	8.1%
t	7748	8.0%
p	7104	7.3%
u	7035	7.3%
m	5905	6.1%
l	3934	4.1%
Other values (10)	15159	15.7%

Common

Value	Count	Frequency (%)
	28054	24.5%
.	21619	18.8%
1	9714	8.5%
0	7087	6.2%
2	6025	5.3%
)	5895	5.1%
(	5895	5.1%
5	5018	4.4%
3	4186	3.6%
4	3940	3.4%
Other values (5)	17272	15.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	211422	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	28054	13.3%
.	21619	10.2%
a	14032	6.6%
r	10029	4.7%
e	9874	4.7%
1	9714	4.6%
s	8026	3.8%
q	7871	3.7%
t	7748	3.7%
p	7104	3.4%
Other values (25)	87351	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	21
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3630396

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	36
Range	35
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.0090671
Coefficient of variation (CV)	0.59739621
Kurtosis	44.14148
Mean	3.3630396
Median Absolute Deviation (MAD)	1
Skewness	4.754086
Sum	13321
Variance	4.0363508
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
3	1583	40.0%
2	1032	26.1%
4	710	17.9%
5	225	5.7%
1	142	3.6%
6	84	2.1%
9	45	1.1%
8	33	0.8%
7	31	0.8%
12	28	0.7%
Other values (11)	48	1.2%

Value	Count	Frequency (%)
1	142	3.6%
2	1032	26.1%
3	1583	40.0%
4	710	17.9%
5	225	5.7%
6	84	2.1%
7	31	0.8%
8	33	0.8%
9	45	1.1%
10	21	0.5%

Value	Count	Frequency (%)
36	1	< 0.1%
34	1	< 0.1%
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.7%

bathroom
Real number (ℝ)

High correlation

Distinct	21
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4069679

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	36
Range	35
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.0492649
Coefficient of variation (CV)	0.60149229
Kurtosis	41.523826
Mean	3.4069679
Median Absolute Deviation (MAD)	1
Skewness	4.4927313
Sum	13495
Variance	4.1994868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
2	1158	29.2%
3	1154	29.1%
4	864	21.8%
5	306	7.7%
1	177	4.5%
6	124	3.1%
7	44	1.1%
9	42	1.1%
8	28	0.7%
12	22	0.6%
Other values (11)	42	1.1%

Value	Count	Frequency (%)
1	177	4.5%
2	1158	29.2%
3	1154	29.1%
4	864	21.8%
5	306	7.7%
6	124	3.1%
7	44	1.1%
8	28	0.7%
9	42	1.1%
10	11	0.3%

Value	Count	Frequency (%)
36	1	< 0.1%
34	1	< 0.1%
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	225.7 KiB

3+	1227
3	1133
2	969
1	420
0	212

Length

Max length	2
Median length	1
Mean length	1.3097703
Min length	1

Characters and Unicode

Total characters	5188
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3+	1227	31.0%
3	1133	28.6%
2	969	24.5%
1	420	10.6%
0	212	5.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2360	59.6%
2	969	24.5%
1	420	10.6%
0	212	5.4%

Most occurring characters

Value	Count	Frequency (%)
3	2360	45.5%
+	1227	23.7%
2	969	18.7%
1	420	8.1%
0	212	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	76.3%
Math Symbol	1227	23.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2360	59.6%
2	969	24.5%
1	420	10.6%
0	212	5.4%

Math Symbol

Value	Count	Frequency (%)
+	1227	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5188	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2360	45.5%
+	1227	23.7%
2	969	18.7%
1	420	8.1%
0	212	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5188	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2360	45.5%
+	1227	23.7%
2	969	18.7%
1	420	8.1%
0	212	4.1%

floorNum
Real number (ℝ)

Zeros

Distinct	44
Distinct (%)	1.1%
Missing	21
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.6677665

Minimum	0
Maximum	51
Zeros	139
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0056694
Coefficient of variation (CV)	0.90070181
Kurtosis	4.8099619
Mean	6.6677665
Median Absolute Deviation (MAD)	3
Skewness	1.7524954
Sum	26271
Variance	36.068065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
3	552	13.9%
2	547	13.8%
1	404	10.2%
4	339	8.6%
8	200	5.0%
7	188	4.7%
6	188	4.7%
10	187	4.7%
5	181	4.6%
9	171	4.3%
Other values (34)	983	24.8%

Value	Count	Frequency (%)
0	139	3.5%
1	404	10.2%
2	547	13.8%
3	552	13.9%
4	339	8.6%
5	181	4.6%
6	188	4.7%
7	188	4.7%
8	200	5.0%
9	171	4.3%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
41	1	< 0.1%
40	2	0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1177
Missing (%)	29.7%
Memory size	210.5 KiB

East	668
North-East	663
North	410
West	258
South	237
Other values (3)	548

Length

Max length	10
Median length	5
Mean length	6.8423132
Min length	4

Characters and Unicode

Total characters	19049
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-East
2nd row	East
3rd row	East
4th row	South
5th row	East

Common Values

Value	Count	Frequency (%)
East	668	16.9%
North-East	663	16.7%
North	410	10.4%
West	258	6.5%
South	237	6.0%
North-West	206	5.2%
South-East	183	4.6%
South-West	159	4.0%
(Missing)	1177	29.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	668	24.0%
north-east	663	23.8%
north	410	14.7%
west	258	9.3%
south	237	8.5%
north-west	206	7.4%
south-east	183	6.6%
south-west	159	5.7%

Most occurring characters

Value	Count	Frequency (%)
t	3995	21.0%
s	2137	11.2%
o	1858	9.8%
h	1858	9.8%
E	1514	7.9%
a	1514	7.9%
N	1279	6.7%
r	1279	6.7%
-	1211	6.4%
W	623	3.3%
Other values (3)	1781	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13843	72.7%
Uppercase Letter	3995	21.0%
Dash Punctuation	1211	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3995	28.9%
s	2137	15.4%
o	1858	13.4%
h	1858	13.4%
a	1514	10.9%
r	1279	9.2%
e	623	4.5%
u	579	4.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1514	37.9%
N	1279	32.0%
W	623	15.6%
S	579	14.5%

Dash Punctuation

Value	Count	Frequency (%)
-	1211	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17838	93.6%
Common	1211	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3995	22.4%
s	2137	12.0%
o	1858	10.4%
h	1858	10.4%
E	1514	8.5%
a	1514	8.5%
N	1279	7.2%
r	1279	7.2%
W	623	3.5%
e	623	3.5%
Other values (2)	1158	6.5%

Common

Value	Count	Frequency (%)
-	1211	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19049	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3995	21.0%
s	2137	11.2%
o	1858	9.8%
h	1858	9.8%
E	1514	7.9%
a	1514	7.9%
N	1279	6.7%
r	1279	6.7%
-	1211	6.4%
W	623	3.3%
Other values (3)	1781	9.3%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	270.8 KiB

Relatively New	1705
New Property	647
Moderately Old	610
Undefined	512
Old Property	353

Length

Max length	18
Median length	14
Mean length	12.984095
Min length	9

Characters and Unicode

Total characters	51430
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Old
2nd row	Relatively New
3rd row	Relatively New
4th row	Old Property
5th row	Undefined

Common Values

Value	Count	Frequency (%)
Relatively New	1705	43.0%
New Property	647	16.3%
Moderately Old	610	15.4%
Undefined	512	12.9%
Old Property	353	8.9%
Under Construction	134	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2352	31.7%
relatively	1705	23.0%
property	1000	13.5%
old	963	13.0%
moderately	610	8.2%
undefined	512	6.9%
under	134	1.8%
construction	134	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	9140	17.8%
l	4983	9.7%
t	3583	7.0%
	3449	6.7%
y	3315	6.4%
r	2878	5.6%
d	2731	5.3%
N	2352	4.6%
w	2352	4.6%
i	2351	4.6%
Other values (15)	14296	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40571	78.9%
Uppercase Letter	7410	14.4%
Space Separator	3449	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9140	22.5%
l	4983	12.3%
t	3583	8.8%
y	3315	8.2%
r	2878	7.1%
d	2731	6.7%
w	2352	5.8%
i	2351	5.8%
a	2315	5.7%
o	1878	4.6%
Other values (7)	5045	12.4%

Uppercase Letter

Value	Count	Frequency (%)
N	2352	31.7%
R	1705	23.0%
P	1000	13.5%
O	963	13.0%
U	646	8.7%
M	610	8.2%
C	134	1.8%

Space Separator

Value	Count	Frequency (%)
	3449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47981	93.3%
Common	3449	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9140	19.0%
l	4983	10.4%
t	3583	7.5%
y	3315	6.9%
r	2878	6.0%
d	2731	5.7%
N	2352	4.9%
w	2352	4.9%
i	2351	4.9%
a	2315	4.8%
Other values (14)	11981	25.0%

Common

Value	Count	Frequency (%)
	3449	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9140	17.8%
l	4983	9.7%
t	3583	7.0%
	3449	6.7%
y	3315	6.4%
r	2878	5.6%
d	2731	5.3%
N	2352	4.6%
w	2352	4.6%
i	2351	4.6%
Other values (15)	14296	27.8%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	599
Distinct (%)	31.0%
Missing	2027
Missing (%)	51.2%
Infinite	0
Infinite (%)	0.0%
Mean	1917.7599

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	89
5-th percentile	748.25
Q1	1457
median	1825
Q3	2215
95-th percentile	3187.45
Maximum	10000
Range	9911
Interquartile range (IQR)	758

Descriptive statistics

Standard deviation	768.23467
Coefficient of variation (CV)	0.40058961
Kurtosis	9.9468317
Mean	1917.7599
Median Absolute Deviation (MAD)	375
Skewness	1.8053184
Sum	3708947.5
Variance	590184.51
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	38	1.0%
1950	38	1.0%
2000	26	0.7%
1578	25	0.6%
2150	23	0.6%
1640	22	0.6%
2408	20	0.5%
1900	19	0.5%
1350	19	0.5%
1930	18	0.5%
Other values (589)	1686	42.6%
(Missing)	2027	51.2%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	2	0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	656
Distinct (%)	35.5%
Missing	2113
Missing (%)	53.3%
Infinite	0
Infinite (%)	0.0%
Mean	1793.0741

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	2
5-th percentile	115.7
Q1	360
median	1200
Q3	1861.25
95-th percentile	3843.35
Maximum	737147
Range	737145
Interquartile range (IQR)	1501.25

Descriptive statistics

Standard deviation	17175.835
Coefficient of variation (CV)	9.5789878
Kurtosis	1821.9777
Mean	1793.0741
Median Absolute Deviation (MAD)	750
Skewness	42.536442
Sum	3313601
Variance	2.9500931 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	46	1.2%
1900	35	0.9%
300	35	0.9%
2000	26	0.7%
1600	26	0.7%
900	26	0.7%
200	25	0.6%
1300	25	0.6%
1700	24	0.6%
500	23	0.6%
Other values (646)	1557	39.3%
(Missing)	2113	53.3%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
40	4	0.1%
45	1	< 0.1%
50	9	0.2%
51	1	< 0.1%
52.5	1	< 0.1%
53	1	< 0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
26000	1	< 0.1%
12000	1	< 0.1%
9500	1	< 0.1%
9000	4	0.1%
8286	1	< 0.1%
8260	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%
7450	1	< 0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	744
Distinct (%)	37.1%
Missing	1958
Missing (%)	49.4%
Infinite	0
Infinite (%)	0.0%
Mean	2445.2755

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	15
5-th percentile	337.11906
Q1	802
median	1264
Q3	1782
95-th percentile	2947.2
Maximum	607936
Range	607921
Interquartile range (IQR)	980

Descriptive statistics

Standard deviation	22044.807
Coefficient of variation (CV)	9.0152651
Kurtosis	646.90592
Mean	2445.2755
Median Absolute Deviation (MAD)	486
Skewness	25.168213
Sum	4897886.9
Variance	4.8597352 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	37	0.9%
1600	36	0.9%
1200	33	0.8%
1500	30	0.8%
1350	29	0.7%
1650	28	0.7%
900	25	0.6%
1300	23	0.6%
2000	23	0.6%
Other values (734)	1697	42.8%
(Missing)	1958	49.4%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	2	0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	2	0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	224.5 KiB

0	3224
1	737

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3961
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3224	81.4%
1	737	18.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3224	81.4%
1	737	18.6%

Most occurring characters

Value	Count	Frequency (%)
0	3224	81.4%
1	737	18.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3224	81.4%
1	737	18.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3224	81.4%
1	737	18.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3224	81.4%
1	737	18.6%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	224.5 KiB

0	2584
1	1377

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3961
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2584	65.2%
1	1377	34.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2584	65.2%
1	1377	34.8%

Most occurring characters

Value	Count	Frequency (%)
0	2584	65.2%
1	1377	34.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2584	65.2%
1	1377	34.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2584	65.2%
1	1377	34.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2584	65.2%
1	1377	34.8%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	224.5 KiB

0	3600
1	361

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3961
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3600	90.9%
1	361	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3600	90.9%
1	361	9.1%

Most occurring characters

Value	Count	Frequency (%)
0	3600	90.9%
1	361	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3600	90.9%
1	361	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3600	90.9%
1	361	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3600	90.9%
1	361	9.1%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	224.5 KiB

0	3275
1	686

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3961
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3275	82.7%
1	686	17.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3275	82.7%
1	686	17.3%

Most occurring characters

Value	Count	Frequency (%)
0	3275	82.7%
1	686	17.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3275	82.7%
1	686	17.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3275	82.7%
1	686	17.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3275	82.7%
1	686	17.3%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	224.5 KiB

0	3522
1	439

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3961
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3522	88.9%
1	439	11.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3522	88.9%
1	439	11.1%

Most occurring characters

Value	Count	Frequency (%)
0	3522	88.9%
1	439	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3522	88.9%
1	439	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3522	88.9%
1	439	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3522	88.9%
1	439	11.1%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	224.5 KiB

1	2638
0	1102
2	221

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3961
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	2638	66.6%
0	1102	27.8%
2	221	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2638	66.6%
0	1102	27.8%
2	221	5.6%

Most occurring characters

Value	Count	Frequency (%)
1	2638	66.6%
0	1102	27.8%
2	221	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3961	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2638	66.6%
0	1102	27.8%
2	221	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2638	66.6%
0	1102	27.8%
2	221	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2638	66.6%
0	1102	27.8%
2	221	5.6%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.105781

Minimum	0
Maximum	174
Zeros	559
Zeros (%)	14.1%
Negative	0
Negative (%)	0.0%
Memory size	31.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	28
median	56
Q3	108
95-th percentile	168
Maximum	174
Range	174
Interquartile range (IQR)	80

Descriptive statistics

Standard deviation	53.041219
Coefficient of variation (CV)	0.76753663
Kurtosis	-0.83249815
Mean	69.105781
Median Absolute Deviation (MAD)	39
Skewness	0.49839736
Sum	273728
Variance	2813.3709
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	559	14.1%
49	358	9.0%
174	196	4.9%
44	64	1.6%
38	58	1.5%
165	56	1.4%
72	56	1.4%
7	52	1.3%
60	50	1.3%
37	49	1.2%
Other values (151)	2463	62.2%

Value	Count	Frequency (%)
0	559	14.1%
5	6	0.2%
6	6	0.2%
7	52	1.3%
8	34	0.9%
9	10	0.3%
12	10	0.3%
13	11	0.3%
14	13	0.3%
15	46	1.2%

Value	Count	Frequency (%)
174	196	4.9%
169	1	< 0.1%
168	9	0.2%
167	21	0.5%
166	11	0.3%
165	56	1.4%
161	3	0.1%
160	30	0.8%
159	23	0.6%
158	34	0.9%

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.221	0.075	0.114	0.000	0.000	0.092	0.124	0.217	0.224	0.105	0.186	0.094	0.051	0.360	0.286	0.149	0.114	0.084
area	0.000	1.000	0.000	0.683	0.612	0.416	0.806	0.037	0.127	0.042	0.274	0.000	0.000	0.748	0.196	0.019	0.000	0.000	0.000	0.950
balcony	0.221	0.000	1.000	0.162	0.113	0.000	0.022	0.000	0.084	0.185	0.224	0.077	0.190	0.137	0.037	0.216	0.438	0.137	0.187	0.305
bathroom	0.075	0.683	0.162	1.000	0.855	0.008	0.599	0.035	0.006	0.160	0.186	0.066	0.265	0.718	0.403	0.424	0.306	0.174	0.161	0.821
bedRoom	0.114	0.612	0.113	0.855	1.000	-0.124	0.567	0.034	-0.097	0.133	0.054	0.064	0.266	0.671	0.406	0.605	0.133	0.201	0.166	0.801
built_up_area	0.000	0.416	0.000	0.008	-0.124	1.000	0.968	1.000	0.344	0.086	0.269	0.000	0.000	0.039	-0.383	0.000	0.000	0.000	0.000	0.927
carpet_area	0.000	0.806	0.022	0.599	0.567	0.968	1.000	0.000	0.157	0.000	0.242	0.016	0.000	0.620	0.137	0.000	0.000	0.000	0.009	0.896
facing	0.092	0.037	0.000	0.035	0.034	1.000	0.000	1.000	0.000	0.048	0.062	0.000	0.016	0.023	0.000	0.088	0.036	0.039	0.000	0.000
floorNum	0.124	0.127	0.084	0.006	-0.097	0.344	0.157	0.000	1.000	0.023	0.243	0.029	0.097	0.018	-0.111	0.485	0.089	0.107	0.071	0.154
furnishing_type	0.217	0.042	0.185	0.160	0.133	0.086	0.000	0.048	0.023	1.000	0.254	0.052	0.223	0.178	0.000	0.066	0.282	0.164	0.152	0.136
luxury_score	0.224	0.274	0.224	0.186	0.054	0.269	0.242	0.062	0.243	0.254	1.000	0.168	0.194	0.231	0.062	0.343	0.359	0.227	0.193	0.230
others	0.105	0.000	0.077	0.066	0.064	0.000	0.016	0.000	0.029	0.052	0.168	1.000	0.038	0.033	0.029	0.029	0.000	0.104	0.040	0.086
pooja room	0.186	0.000	0.190	0.265	0.266	0.000	0.000	0.016	0.097	0.223	0.194	0.038	1.000	0.332	0.032	0.243	0.256	0.303	0.322	0.156
price	0.094	0.748	0.137	0.718	0.671	0.039	0.620	0.023	0.018	0.178	0.231	0.033	0.332	1.000	0.733	0.507	0.372	0.297	0.242	0.776
price_per_sqft	0.051	0.196	0.037	0.403	0.406	-0.383	0.137	0.000	-0.111	0.000	0.062	0.029	0.032	0.733	1.000	0.206	0.043	0.000	0.033	0.290
property_type	0.360	0.019	0.216	0.424	0.605	0.000	0.000	0.088	0.485	0.066	0.343	0.029	0.243	0.507	0.206	1.000	0.049	0.234	0.114	1.000
servant room	0.286	0.000	0.438	0.306	0.133	0.000	0.000	0.036	0.089	0.282	0.359	0.000	0.256	0.372	0.043	0.049	1.000	0.161	0.190	0.587
store room	0.149	0.000	0.137	0.174	0.201	0.000	0.000	0.039	0.107	0.164	0.227	0.104	0.303	0.297	0.000	0.234	0.161	1.000	0.217	0.039
study room	0.114	0.000	0.187	0.161	0.166	0.000	0.009	0.000	0.071	0.152	0.193	0.040	0.322	0.242	0.033	0.114	0.190	0.217	1.000	0.119
super_built_up_area	0.084	0.950	0.305	0.821	0.801	0.927	0.896	0.000	0.154	0.136	0.230	0.086	0.156	0.776	0.290	1.000	0.587	0.039	0.119	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	others	furnishing_type	luxury_score
0	flat	sare homes	sector 92	0.60	5000.0	1200.0	Carpet area: 1200 (111.48 sq.m.)	3	2	3	4.0	NaN	Moderately Old	NaN	NaN	1200.0	0	0	0	0	49
1	flat	ireo skyon	sector 60	3.60	12815.0	2809.0	Super Built up area 2809(260.96 sq.m.)Carpet area: 2400 sq.ft. (222.97 sq.m.)	4	5	3	24.0	North-East	Relatively New	2809.0	NaN	2400.0	0	1	0	0	49
2	flat	shapoorji pallonji joyville gurugram	sector 102	0.97	10601.0	915.0	Super Built up area 915(85.01 sq.m.)	2	2	2	12.0	East	Relatively New	915.0	NaN	NaN	0	0	0	1	100
3	house	rattan garden	sector 7	1.30	13499.0	963.0	Built Up area: 963 (89.47 sq.m.)	5	3	2	3.0	NaN	Old Property	NaN	963.0	NaN	0	0	0	1	0
4	flat	signature global park 4	sector 36	0.72	6428.0	1120.0	Carpet area: 1120 (104.05 sq.m.)	3	2	3	2.0	NaN	Undefined	NaN	NaN	1120.0	0	0	0	1	0
5	flat	umang winter hills	sector 77	1.05	5762.0	1822.0	Super Built up area 1822(169.27 sq.m.)Built Up area: 1600 sq.ft. (148.64 sq.m.)Carpet area: 1400 sq.ft. (130.06 sq.m.)	3	3	3	7.0	East	Relatively New	1822.0	1600.0	1400.0	0	0	0	1	49
6	flat	vatika gurgaon	sector 83	1.12	6455.0	1735.0	Super Built up area 1735(161.19 sq.m.)Built Up area: 1500 sq.ft. (139.35 sq.m.)Carpet area: 1400 sq.ft. (130.06 sq.m.)	3	3	2	17.0	South	Moderately Old	1735.0	1500.0	1400.0	0	0	0	0	111
7	flat	m3m antalya hills	sector 79	1.15	7496.0	1534.0	Super Built up area 1534(142.51 sq.m.)Built Up area: 1200 sq.ft. (111.48 sq.m.)Carpet area: 1103 sq.ft. (102.47 sq.m.)	3	3	3+	1.0	NaN	Undefined	1534.0	1200.0	1103.0	1	0	0	1	51
8	flat	supertech hues	sector 68	0.90	7627.0	1180.0	Carpet area: 1180 (109.63 sq.m.)	2	2	2	1.0	East	New Property	NaN	NaN	1180.0	0	0	0	1	44
9	flat	eldeco accolade	sohna road	0.95	6178.0	1538.0	Super Built up area 1457(135.36 sq.m.)Built Up area: 1050 sq.ft. (97.55 sq.m.)Carpet area: 849 sq.ft. (78.87 sq.m.)	2	2	3+	8.0	South	Under Construction	1457.0	1050.0	849.0	1	0	1	1	72

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
3951	flat	emaar gurgaon greens	sector 102	1.40	8484.0	1650.0	Super Built up area 1650(153.29 sq.m.)Built Up area: 1300 sq.ft. (120.77 sq.m.)Carpet area: 1022.58 sq.ft. (95 sq.m.)	3	3	3	10.0	East	Relatively New	1650.0	1300.0	1022.580000	0	1	0	0	0	1	46
3952	flat	tulip violet	sector 69	1.80	8955.0	2010.0	Super Built up area 2010(186.74 sq.m.)	4	4	2	9.0	South-West	Relatively New	2010.0	NaN	NaN	0	0	0	1	0	0	165
3953	flat	dlf the skycourt	sector 86	1.50	7776.0	1929.0	Super Built up area 1929(179.21 sq.m.)Built Up area: 1550 sq.ft. (144 sq.m.)Carpet area: 1330 sq.ft. (123.56 sq.m.)	3	3	1	15.0	South-East	Relatively New	1929.0	1550.0	1330.000000	0	0	0	0	0	1	159
3954	flat	emaar mgf emerald floors premier	sector 65	2.36	14303.0	1650.0	Super Built up area 1650(153.29 sq.m.)	3	3	3	0.0	North-East	Relatively New	1650.0	NaN	NaN	1	1	0	0	0	0	159
3955	house	independent	sector 105	0.37	8222.0	450.0	Plot area 450(41.81 sq.m.)	2	2	1	1.0	NaN	Moderately Old	NaN	450.0	NaN	0	0	0	0	1	1	0
3956	flat	rof ananda	sector 95	0.20	5599.0	357.0	Carpet area: 366.08 (34.01 sq.m.)	1	1	1	2.0	South-West	Relatively New	NaN	NaN	366.080239	0	0	0	1	0	1	53
3957	house	independent	shivji park colony	0.49	10378.0	472.0	Plot area 530(49.24 sq.m.)	2	1	0	1.0	NaN	Old Property	NaN	530.0	NaN	0	0	0	0	0	1	7
3958	flat	experion windchants	sector 112	3.65	11428.0	3194.0	Built Up area: 2800 (260.13 sq.m.)	3	5	2	3.0	South-West	Relatively New	NaN	2800.0	NaN	0	1	0	0	0	1	72
3959	house	independent	dhankot	0.70	9722.0	720.0	Plot area 80(66.89 sq.m.)	4	3	2	3.0	West	Relatively New	NaN	80.0	NaN	0	0	1	1	0	1	12
3960	house	eros rosewood city	sector 49	4.05	20769.0	1950.0	Plot area 1710(158.86 sq.m.)Built Up area: 2000 sq.ft. (185.81 sq.m.)Carpet area: 1950 sq.ft. (181.16 sq.m.)	3	3	3	2.0	East	Moderately Old	NaN	2000.0	1950.000000	0	1	1	0	0	1	46

Most frequently occurring

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	others	furnishing_type	luxury_score	# duplicates
0	flat	ambience caitriona	sector 24	14.00	200000.0	700.0	Built Up area: 700 (65.03 sq.m.)	4	5	3	3.0	East	Undefined	NaN	700.0	NaN	0	0	0	1	0	2
1	flat	ansal heights 86	sector 86	0.90	5325.0	1690.0	Built Up area: 1690 (157.01 sq.m.)	3	3	2	10.0	NaN	New Property	NaN	1690.0	NaN	0	0	0	1	29	2
2	flat	ansal heights 86	sector 86	1.30	4666.0	2786.0	Super Built up area 2786(258.83 sq.m.)	4	6	2	11.0	East	New Property	2786.0	NaN	NaN	0	1	1	1	86	2
3	flat	ansal housing highland park	sector 103	0.88	6429.0	1369.0	Super Built up area 1361(126.44 sq.m.)	2	2	3	3.0	NaN	New Property	1361.0	NaN	NaN	0	0	0	1	52	2
4	flat	antriksh heights	sector 84	0.85	5556.0	1530.0	Super Built up area 1350(125.42 sq.m.)	2	2	3	10.0	North-West	New Property	1350.0	NaN	NaN	1	0	1	1	24	2
5	flat	apartment	sector 92	0.75	4687.0	1600.0	Carpet area: 1600 (148.64 sq.m.)	3	4	3	2.0	East	Moderately Old	NaN	NaN	1600.0	1	0	0	1	113	2
6	flat	ashiana anmol	sohna road	0.88	11125.0	791.0	Super Built up area 1275(118.45 sq.m.)Carpet area: 791 sq.ft. (73.49 sq.m.)	2	2	2	13.0	East	Relatively New	1275.0	NaN	791.0	0	0	0	2	127	2
7	flat	assotech blith	sector 99	0.92	6739.0	1365.0	Super Built up area 1365(126.81 sq.m.)	2	2	3+	22.0	NaN	Under Construction	1365.0	NaN	NaN	0	0	0	1	56	2
8	flat	assotech blith	sector 99	1.90	6702.0	2835.0	Built Up area: 2835 (263.38 sq.m.)	4	4	3+	2.0	North-East	Undefined	NaN	2835.0	NaN	0	0	0	1	51	2
9	flat	ats tourmaline	sector 109	2.30	8897.0	2585.0	Super Built up area 2585(240.15 sq.m.)	3	4	3+	10.0	East	New Property	2585.0	NaN	NaN	0	1	1	1	74	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters